Ataur Katebi

The paper develops a computational approach to model core gene regulatory networks in IDH mutant AML, identifying key regulators like DNMT1 and E2F1 supported by patient survival data.

NetAct constructs core transcription factor regulatory networks using transcriptomics data and literature databases, outperforming existing methods in network inference.

The paper uses random parametric perturbations of a gene regulatory circuit in budding yeast to uncover state transitions during the cell cycle, showing consistency with single-cell RNA-seq data.

The paper constructs a gene regulatory network model for EMT hybrid states in mouse embryonic skin cells using scRNA-seq data and literature-based interactions, identifying Wnt signaling as a key pathway.